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3D-CMCC-FEM (Coupled Model Carbon Cycle) BioGeoChemical and Biophysical Forest Ecosystem Model
Get PDFThis is the 3D-CMCC-FEM (Three Dimensional - Coupled Model Carbon Cycle - Forest Ecosystem Model) user guide for the version 5.5-ISIMIP and 5.6. The 3D-CMCC-FEM is a biochemical, biophysical process-based model and is basically a research tool which is freely available only for non-commercial use. This user guide describes the essential steps for input data creation, model parameterization and for running the model code on different IDEs but even on R environment using different wrappers for pre- and post-processing for3D-CMCC-FEM (both versions: Light Use Efficiency and the fully BioGeoChemical version). We have developed the 3D-CMCC-FEM code relying solely on open source components, in order to facilitate its use and further development by others. The 3D-CMCC-FEM code is released under the GNU General Public Licence v3.0 (GPL)
Heavy ion physics in ATLAS and CMS
No full textAn overview of the latest heavy-ion measurements with the ATLAS and CMS detectors at the LHC, utilizing the high statistics 5.02 TeV Pb+Pb data collected in 2015 and 2018, is given. These include multiple measurements of jet production and structure, which probe the dynamics of the hot and dense medium (quark-gluon plasma) formed in relativistic nucleus-nucleus collisions; measurements of quarkonia and heavy flavor production to probe the medium properties; and various measurements of ultra-peripheral collision processes
ttX and top properties in ATLAS and CMS
No full textThe top quark offers a very rich physics program. This talk focuses on searches for flavor-changing neutral-current (FCNC) and on measurements and searches for rare top quark production modes, the so called ttX processes where X is
a boson (W±, Z, γ or H). FCNC couplings are strongly suppressed in the standard model (SM) but included in many extensions of the SM. The ttX processes become fully accessible with the Run 2 data inclusively and differentially and first searches are carried out within the framework of an effective field theory. The measurements
and searches presented are performed with the full Run 2 data of the CERN Large Hadron Collider (LHC) at a center-of-mass of 13 TeV with the ATLAS (JINST, 3 (2008) S08003) and CMS (JINST, 3 (2008) S08004) experiments
Integrating Point Pattern Analysis and Logistic Regression approaches for exploring the settlement pattern of the Versilia and Garfagnana mountains in Roman times
Get PDFMountain archaeology has a long research tradition and in recent years the number of studies on this topic has increased considerably, shedding new light on the dynamics of mountains communities. Versilia and Garfagnana districts (Lucca, North-Western Tuscany) largely fall between the Apuan Alps and the Apennine ridge. Although these territories have never been systematically investigated, the collection of all available archaeological legacy data indicates a settlement pattern of undoubted interest for the Roman times. This paper aims at exploring the settlement pattern of these mountain territories, integrating Point Pattern Analysis and Logistic Regression to achieve a predictive map of archaeological presences and to analyse their interrelations with the environment. Analyses prove the spatial dependence of finds with geomorphological and pedological variables, but also with the distance to major watercourses and solar irradiation. Based on the considered variables, the predictive map confirms that the foothill and gentler slopes facing E-SE areas have suitable characteristics for permanent settlement. Moving towards the more inland and higher altitude territories, the non-event areas increase proportionally, especially along the ridges, and the steeper, north-facing areas. Thus, the results make it possible to integrate the archaeological framework, clarifying human-environment dynamics, and directing new studies
The Euratom Research and Training programme in support of the innovation and the R&D in the field of radioactive waste management
Get PDFThis paper describes the recent efforts made to verify the applicability of Artificial Intelligence technologies to legacy wastes. In particular, it is introduced the image evaluation technology, using deep learning models, which is
closely related to the non-destructive evaluation technology and the sensing technology
DRAGoN: Drone for RAdiation detection of Gammas and Neutrons
Get PDFThe Dragon project’s goal is to design, develop and characterize a mobile system composed of an Unmanned Aerial Vehicle, with a Radiation Detection System capable of identifying radioactive contamination spread over an area
of a few to tens of square meters. The capability to quickly survey large areas in case of radiation leakages and nuclear disaster is crucial. It saves time, money and protects personnel using remote detection. It represents an innovative solution for the detection and identification of radioactive materials in a specific area. The proposed technology incorporates thermal and fast neutron detectors along with gamma ray detectors. These measurements are complementary: their combined power is expected to improve the system performances. The system compactness and mobility also permits autonomous measurements and navigation and provides a detailed picture of the radiation levels or contamination surrounding the environment. An overview of the DRAGoN status will be presented, starting from the
detection system, the electronic and the first tests
Measurement and monitoring of radioactivity for disposal and repository applications
Get PDFCompliance monitoring is used to evaluate and confirm the adequacy of assumptions, data, parameterizations, and analyses used to demonstrate perfor- mance of a given geologic repository site. Repository performance demonstration is accomplished via a performance assessment methodology. Performance assessment provides a reasonable expectation of long-term repository performance with quan- tified uncertainty. In this paper, the linkage between compliance monitoring and performance assessment is explored. The U.S. Waste Isolation Pilot Plant and the suspended Yucca Mountain site are used to illustrate the discussion
Observation of vector boson scattering W+W− pair production in proton-proton collisions at a center-of-mass energy of 13 TeV with the CMS detecto
Get PDFThe observation of vector boson scattering (VBS) W+W− pair production, with the two W bosons decaying leptonically, has been reported by the CMS Collaboration at the CERN LHC. The data sample analyzed corresponds to an integrated luminosity of 138 fb−1 of proton-proton collisions at √s = 13 TeV collected by the CMS detector. Events are selected by requiring exactly two opposite-sign leptons (electrons or muons) and two jets with large pseudorapidity separation and
high dijet invariant mass. Machine learning techniques are employed to deal with the irreducible background from the QCD-induced production of W bosons and the large background from the production of top quarks pair. The VBS W+W− signal is observed with a significance of 5.6 standard deviations (5.2 expected) with respect to the background-only hypothesis. The measured fiducial cross section is 10.2 ± 2.0 fb, in agreement with the standard model prediction of 9.1 ± 0.6 fb
Searching for the γ decay from the near-neutron threshold 2+ state in 14C: A probe of collectivization phenomena in light nuclei
Get PDFThe γ decay from the 2+2 near-threshold resonance in 14C, located 142 keV above the neutron emission threshold, was searched for in a fusionevaporation experiment at Argonne National Laboratory with the GODDESS setup, comprising the GRETINA γ-ray spectrometer coupled to the ORRUBA charged particle detector. The Shell Model Embedded in the Continuum predicts a significant enhancement of the 2+2 → 0 transition probability, owing to a collectivization of the
near-threshold state. The corresponding γ branch is expected to be of the order of 5 × 10−5, which is comparable with the sensitivity of this experiment
